Time series analysis of COVID-19 infection curve: a change-point perspective
type: Item
instance of: scholarly article
title: Time series analysis of COVID-19 infection curve: a change-point perspective
author: Feiyu Jiang
author: Zifeng Zhao
author: Xiaofeng Shao
published in: Journal of Econometrics
publication date: 2022-12-14T00:00:00Z
full work available at URL: https://arxiv.org/abs/2007.04553
Mathematics Subject Classification ID: 62-XX
Mathematics Subject Classification ID: 91-XX
zbMATH DE Number: 7633053
describes a project that uses: wbs
MaRDI profile type: Publication
OpenAlex ID: W3045622758
Wikidata QID: Q98659671
cites work: Tests for Parameter Instability and Structural Change With Unknown Change Point
cites work: Structural breaks in time series
cites work: LEAST SQUARES ESTIMATION OF A SHIFT IN LINEAR PROCESSES
cites work: Estimating and Testing Linear Models with Multiple Structural Changes
cites work: Narrowest-Over-Threshold Detection of Multiple Change Points and Change-Point-Like Features
cites work: Multiple-Change-Point Detection for High Dimensional Time Series via Sparsified Binary Segmentation
cites work: Nonmonotonic power for tests of a mean shift in a time series§
cites work: Empirical Bayesian analysis of simultaneous changepoints in multiple data sequences
cites work: Wild binary segmentation for multiple change-point detection
cites work: Detection of Change in the Spatiotemporal Mean Function
cites work: A NEW ASYMPTOTIC THEORY FOR HETEROSKEDASTICITY-AUTOCORRELATION ROBUST TESTS
cites work: Detecting Changes in Slope With an L0 Penalty
cites work: Circular binary segmentation for the analysis of array-based DNA copy number data
cites work: A Self-Normalized Approach to Confidence Interval Construction in Time Series
cites work: Self-Normalization for Time Series: A Review of Recent Developments
cites work: Testing for Change Points in Time Series
cites work: Nonlinear system theory: Another look at dependence
cites work: Limit theorems for iterated random functions
cites work: Unsupervised Self-Normalized Change-Point Testing for Time Series
cites work: Inference for Linear Models with Dependent Errors
DOI: 10.1016/J.JECONOM.2020.07.039
description: scientific article; zbMATH DE number 7633053